Data mining for gearbox condition monitoring

M. Baqqar, M. Ahmed, F. Gu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Engineering datasets have growing rapidly in size and diversity as data acquisition technology has developed in recent years. However, the full use of the datasets for maximizing machine operation and design has not been investigated systematically because of the complexity of the datasets and huge amounts of data. This also means that data analysis based on traditional statistic based methods are no longer efficient in obtaining useful knowledge from these datasets. Thus this paper discusses dynamic and static datasets collected from a gearbox test rig with a typical drive system such that the datasets are considered representative for condition monitoring purposes. Dynamic datasets were analyzed to diagnose the condition of the gear: Healthy or Fault, using conventional signal processing techniques such as time-domain and frequency-domain analysis. The static data was also analyzed for comparative evaluation of detection performances. This procedure of data collection and analysis allowed a full understanding to be gained of condition monitoring datasets and paved the way for developing a more effective Data mining approach and efficient database. Moreover, to evaluate the effectiveness of using these new techniques, a prototype database was developed based on a gearbox test system and tested using these methods. The results obtained from a number of conventional methods have shown that data mining can obtain information for condition monitoring efficiently but not so accurately to give fault severity information, which is often sufficient for making maintenance decisions

Original languageEnglish
Title of host publication17th International Conference on Automation and Computing, ICAC 2011
PublisherIEEE
Pages138-142
Number of pages5
ISBN (Electronic)9781862180987
ISBN (Print)9781467300001
Publication statusPublished - 21 Nov 2011
Event17th International Conference on Automation and Computing - Huddersfield, United Kingdom
Duration: 10 Sep 201110 Sep 2011
Conference number: 17
http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=14139&copyownerid=20561 (Link to Event Details)
https://www.tib.eu/en/search/id/TIBKAT%3A73636952X/

Conference

Conference17th International Conference on Automation and Computing
Abbreviated titleICAC 2011
CountryUnited Kingdom
CityHuddersfield
Period10/09/1110/09/11
Internet address

Fingerprint

Condition monitoring
Data mining
Frequency domain analysis
Gears
Data acquisition
Signal processing
Statistics

Cite this

Baqqar, M., Ahmed, M., & Gu, F. (2011). Data mining for gearbox condition monitoring. In 17th International Conference on Automation and Computing, ICAC 2011 (pp. 138-142). [6084916] IEEE.
Baqqar, M. ; Ahmed, M. ; Gu, F. / Data mining for gearbox condition monitoring. 17th International Conference on Automation and Computing, ICAC 2011. IEEE, 2011. pp. 138-142
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Baqqar, M, Ahmed, M & Gu, F 2011, Data mining for gearbox condition monitoring. in 17th International Conference on Automation and Computing, ICAC 2011., 6084916, IEEE, pp. 138-142, 17th International Conference on Automation and Computing, Huddersfield, United Kingdom, 10/09/11.

Data mining for gearbox condition monitoring. / Baqqar, M.; Ahmed, M.; Gu, F.

17th International Conference on Automation and Computing, ICAC 2011. IEEE, 2011. p. 138-142 6084916.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Baqqar M, Ahmed M, Gu F. Data mining for gearbox condition monitoring. In 17th International Conference on Automation and Computing, ICAC 2011. IEEE. 2011. p. 138-142. 6084916